Rocky Pinheiro

AI is advancing faster than most industrial organizations can absorb, and the real challenge is deciding where it truly creates value. This workshop brings together PennEngineering's digital, quality, and AI leaders to explore the key decisions behind responsible adoption, including platform selection, high value workflows, security, and data integrity. Drawing on hands on experience building an AI factory and deploying solutions across global sites, the session gives participants a practical view of what it takes to make smart and scalable choices in AI deployment.

• Define AI readiness and platform strategy — What it takes to balance enterprise grade security with usability, adoption, and speed for both developers and everyday users.

• Identify high value workflows — How PennEngineering built an AI factory model to surface real business needs, prioritize use cases, and avoid the 95% of pilots that never scale.

• Design a scalable deployment model — Lessons from persona based rollout planning (power users, core users, non users) and how to accelerate value without overwhelming the organization.

• Integrate AI into quality, training, and frontline workflows — Practical insights from deploying across global operations, including multilingual and shop floor centric use cases.

• Navigate data integrity, cloud, and cybersecurity considerations — How to ensure trust, governance, and secure OT/IT convergence without slowing innovation.

• Plan for global rollout and change management — What international deployments reveal about communication, culture, and sustaining momentum beyond the first 6–12 months.